main.py

import cv2
import mediapipe as mp
import time

mp_facedetector = mp.solutions.face_detection
mp_draw = mp.solutions.drawing_utils

cap = cv2.VideoCapture(0)

with mp_facedetector.FaceDetection(min_detection_confidence=0.7) as face_detection:

    while cap.isOpened():

        success, image = cap.read()

        start = time.time()


        image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)


        results = face_detection.process(image)


        image = cv2.cvtColor(image,cv2.COLOR_RGB2BGR)


        if results.detections:
            for id, detection in enumerate(results.detections):
                mp_draw.draw_detection(image, detection)
                print(id, detection)

                bBox = detection.location_data.relative_bounding_box

                h, w, c = image.shape

                boundBox = int(bBox.xmin * w), int(bBox.ymin * h), int(bBox.width * w), int(bBox.height * h)

                cv2.putText(image, f'{int(detection.score[0]*100)}%',(boundBox[0],boundBox[1] - 20),cv2.FONT_HERSHEY_SIMPLEX,1.5,(0,255,0),2)


        end = time.time()
        totalTime = end - start

        try:
           fps = 1 / totalTime
           print("total time: ", totalTime)
        except ZeroDivisionError:
            print(fps)

        cv2.putText(image, f'Fps:{int(fps)}',(20, 70),cv2.FONT_HERSHEY_SIMPLEX,1.5,(0,255,0),2)
        cv2.imshow('Face Detection',image)

        if cv2.waitKey(5) & 0xFF == 27:
            break

cap.release()